Optimal mutation probability for genetic algorithms

Greenwell, Raymond N.; Angus, John E.; Finck, M.

doi:10.1016/0895-7177(95)00035-z

Mathematical and Computer Modelling

1995

DOI: 10.1016/0895-7177(95)00035-z

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Optimal mutation probability for genetic algorithms

Raymond N. Greenwell

¹

,

John E. Angus

²

,

M. Finck

³

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Cited by 34 publications

(9 citation statements)

References 4 publications

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“…However, it is generally advised that the mutation rate should be low [16], as high mutation rates tend to convert the algorithm towards a random search. We have then adopted a fitness-based adaptive mutation probability [17]:…”

Section: E the Mutationmentioning

confidence: 99%

Generating A-Star Algorithm Admissible Heuristics Using a Dynamic Dataloader on Neural Networks, Enhanced With Genetic Algorithms, on a Distributed Architecture

Amine

¹

,

Mestari

²

2023

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Exaggerated anticipatory anxiety is common in social anxiety disorder (SAD). Neuroimaging studies have revealed altered neural activity in response to social stimuli in SAD, but fewer studies have examined neural activity during anticipation of feared social stimuli in SAD. The current study examined the time course and magnitude of activity in threat processing brain regions during speech anticipation in socially anxious individuals and healthy controls (HC). Method Participants (SAD n = 58; HC n = 16) underwent functional magnetic resonance imaging (fMRI) during which they completed a 90s control anticipation task and 90s speech anticipation task.

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“…However, it is generally advised that the mutation rate should be low [16], as high mutation rates tend to convert the algorithm towards a random search. We have then adopted a fitness-based adaptive mutation probability [17]:…”

Section: E the Mutationmentioning

confidence: 99%

Generating A-Star Algorithm Admissible Heuristics Using a Dynamic Dataloader on Neural Networks, Enhanced With Genetic Algorithms, on a Distributed Architecture

Amine

¹

,

Mestari

²

2023

Get access via publisher Add to dashboard Cite

Exaggerated anticipatory anxiety is common in social anxiety disorder (SAD). Neuroimaging studies have revealed altered neural activity in response to social stimuli in SAD, but fewer studies have examined neural activity during anticipation of feared social stimuli in SAD. The current study examined the time course and magnitude of activity in threat processing brain regions during speech anticipation in socially anxious individuals and healthy controls (HC). Method Participants (SAD n = 58; HC n = 16) underwent functional magnetic resonance imaging (fMRI) during which they completed a 90s control anticipation task and 90s speech anticipation task.

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“…These individuals are mixed with other individuals by using the crossover operator, or some of them are modified with mutation operator. These operators have associated a probability following the values suggested in [49]. In this case, the operators were selected to create a high level of independence from the population, whose individuals depend on the complexity of the equation.…”

Section: Genetic Algorithm (Ga)mentioning

confidence: 99%

A General-Purpose Distributed Analytic Platform Based on Edge Computing and Computational Intelligence Applied on Smart Grids

Guerrero

¹

,

Martín

²

,

Parejo

³

et al. 2023

Sensors

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Exaggerated anticipatory anxiety is common in social anxiety disorder (SAD). Neuroimaging studies have revealed altered neural activity in response to social stimuli in SAD, but fewer studies have examined neural activity during anticipation of feared social stimuli in SAD. The current study examined the time course and magnitude of activity in threat processing brain regions during speech anticipation in socially anxious individuals and healthy controls (HC). Method Participants (SAD n = 58; HC n = 16) underwent functional magnetic resonance imaging (fMRI) during which they completed a 90s control anticipation task and 90s speech anticipation task.

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“…Fixed MRs: Lots of theoretical and empirical work has been done on finding the optimal fixed MR for specific problems [4,15], finding heuristics like the MR should be proportional to 1/𝐿 where 𝐿 is the length of the genotype [9,26]. Evolutionary bilevel optimization tries to find the optimal evolutionary parameters, including MR, by running an inner evolution with an outer loop searching over parameters [21,32].…”

Section: Related Workmentioning

confidence: 99%

Effective Mutation Rate Adaptation through Group Elite Selection

Kumar¹,

Liu²,

Miikkulainen³

et al. 2022

Preprint

0

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Exaggerated anticipatory anxiety is common in social anxiety disorder (SAD). Neuroimaging studies have revealed altered neural activity in response to social stimuli in SAD, but fewer studies have examined neural activity during anticipation of feared social stimuli in SAD. The current study examined the time course and magnitude of activity in threat processing brain regions during speech anticipation in socially anxious individuals and healthy controls (HC). Method Participants (SAD n = 58; HC n = 16) underwent functional magnetic resonance imaging (fMRI) during which they completed a 90s control anticipation task and 90s speech anticipation task.

show abstract

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